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The Role of Philosophy in Advancing Computer Science: Addressing Unity of Science Challenges

This article explores the vital intersection of philosophy and computer science, particularly the implications for the unity of science. Through an analysis of Shimon Edelman's representation riddle involving humans, a monkey, and a robot, we delve into how different entities represent reality similarly. The piece argues that the challenges of scientific unity can be resolved through an information model, highlighting the evolution of scientific disciplines and their integration through data and algorithmic thinking.

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The Role of Philosophy in Advancing Computer Science: Addressing Unity of Science Challenges

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  1. Why computer science needs philosophy Barry Smith National Center for Ontological Research http://ncor.us

  2. Shimon Edelman’sRiddle of Representation • two humans, a monkey, and a robot are looking at a piece of cheese; • what is common to the representational processes in their visual systems? http://ncor.us

  3. Answer: The cheese, of course http://ncor.us

  4. the prehistory of science http://ncor.us

  5. There is no problem of the unity of science • because all science can be stored inside one person’s head http://ncor.us

  6. The era of empiricism • If two scientists disagree they resolve their disagreement by examining reality http://ncor.us

  7. The problem of the unity of science is solved by reality itself http://ncor.us

  8. the brief logical positivist interlude http://ncor.us

  9. A science is a collection of propositions(Bolzano: each science is identified with an ideal scientific textbook) • The problem of the unity of science is a problem of logic http://ncor.us

  10. The new age of science http://ncor.us

  11. A science is a collection of databases and associated algorithms • The problem of the unity of science is a problem of computer science http://ncor.us

  12. 011011101010001000100010010010010010010001001111001001011011110110111011011011101010001000100010010010010010010001001111001001011011110110111011 011011101010001000100010010010010010010001001111001001011011110110111011 011011101010001000100010010010010010010001001111001001011011110110111011 http://ncor.us

  13. 011011101010001000100010010010010010010001001111001001011011110110111011011011101010001000100010010010010010010001001111001001011011110110111011 011011101010001000100010010010010010010001001111001001011011110110111011 011011101010001000100010010010010010010001001111001001011011110110111011 http://ncor.us

  14. To solve the problem of the unity of science, what we need is an ‘information model’ http://ncor.us

  15. caBIO Design Artifacts – UML Class Diagrams http://ncor.us

  16. http://ncor.us

  17. The new age of science http://ncor.us

  18. The new age of science http://ncor.us

  19. The new age of science http://ncor.us

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